If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
To Olley, machine learning fills a gap in technology that has existed for a long time: solving complex problems with pattern recognition. "With the majority of Elsevier's revenue coming from technology-based products and services, we started using machine learning in our commercial products, but it's equally applicable to internal IT platforms," Olley says. As part of the executive teams within RBI and Elsevier, Dan continues to drive organic online product growth across the portfolio. Prior to RELX Group, Dan held technology and product management leadership roles with GM Financial, Wunderman Cato Johnson, and IBM, as well as a number of software organizations in the United Kingdom and other international locales.
"We invented a computing model called GPU accelerated computing and we introduced it almost slightly over 10 years ago," Huang said, noting that while AI is only recently dominating tech news headlines, the company was working on the foundation long before that. Nvidia's tech now resides in many of the world's most powerful supercomputers, and the applications include fields that were once considered beyond the realm of modern computing capabilities. Now, Nvidia's graphics hardware occupies a more pivotal role, according to Huang – and the company's long list of high-profile partners, including Microsoft, Facebook and others, bears him out. GTC, in other words, has evolved into arguably the biggest developer event focused on artificial intelligence in the world.
Self-driving cars, virtual reality games, bioprinting human organs, human gene editing, AI personalities, 3D printing in space, three billion people connected to the Internet…. To answer some of these questions, our team decided to dig into Ray Kurzweil's 2005 book The Singularity Is Near, in which Kurzweil describes the exponential growth of technologies like artificial intelligence, genetics, computers, nanotechnology and robotics. According to Kurzweil, Moore's Law (describing the exponential growth of integrated circuits) is just one example of the law of accelerating returns, but it is perhaps the most powerful. New technology growing exponentially tends to progress deceptively slowly at first, but then its progress shoots upward and very quickly becomes disruptive.
The takeaway here is the machine learning allows companies to build better applications that interact with things people create: pictures, speech, text, and other messy things. Interfaces powered by machine learning will make computing omnipresent. Like their other products, both Google Search and Facebook Photos demonstrate how RDAs generate significant network effects. Or, you could have a giant install base which only occasionally codes data (Facebook, whose users tag photos usually when they're uploaded).
Self-driving cars, virtual reality games, bioprinting human organs, human gene editing, AI personalities, 3D printing in space, three billion people connected to the Internet…. These incredible technological feats are all part of our world today. And while they are not evenly distributed, they are rapidly spreading and evolving -- and in the process radically changing nearly every aspect of modern life. How we eat, work, play, communicate, and travel are deeply affected by the development of new technology. But what is the underlying engine that drives technological progress?